Distributed acoustic sensing (DAS) is a new, relatively inexpensive technology that is rapidly
demonstrating its promise for recording earthquake waves and other seismic signals in a …

The discovery of slow-slip phenomena has revolutionized our understanding of how faults
accommodate relative plate motions. Faults were previously thought to relieve stress either …

This essential reference for graduate students and researchers provides a unified treatment
of earthquakes and faulting as two aspects of brittle tectonics at different timescales. The …

This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …

To optimally monitor earthquake‐generating processes, seismologists have sought to lower
detection sensitivities ever since instrumental seismic networks were started about a century …

Earthquakes follow a well-known power-law size relation, with smaller events occurring
much more often than larger events. Earthquake catalogs are thus dominated by small …

Many large earthquakes are preceded by one or more foreshocks, but it is unclear how
these foreshocks relate to the nucleation process of the mainshock. On the basis of an …

Seismology is experiencing rapid growth in the quantity of data, which has outpaced the
development of processing algorithms. Earthquake detection—identification of seismic …

Earthquake phase association algorithms aggregate picked seismic phases from a network
of seismometers into individual sesimic events and play an important role in earthquake …

Source locations provide fundamental information on earthquakes and lay the foundation for
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …